ProfessorsProfessors of Purdue UniversityLefteri Tsoukala

Lefteri Tsoukala

Purdue University

H-index: 33

North America-United States

About Lefteri Tsoukala

Lefteri Tsoukala, With an exceptional h-index of 33 and a recent h-index of 22 (since 2020), a distinguished researcher at Purdue University, specializes in the field of intelligent systems, fuzzy logic, energy, nuclear engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Data-Driven Techniques for Short-Term Electricity Price Forecasting through Novel Deep Learning Approaches with Attention Mechanisms

Enhanced Sequence-to-Sequence Deep Transfer Learning for Day-Ahead Electricity Load Forecasting

Explainability Analysis of Weather Variables in Short-Term Load Forecasting

Physics-informed neural network with transfer learning (TL-PINN) based on domain similarity measure for prediction of nuclear reactor transients

Enhanced Automated Deep Learning Application for Short-Term Load Forecasting

Thorium fuel revisited

Fuzzy logic: applications in artificial intelligence, big data, and machine learning

Preliminary Development of Heat Transfer Model-Based Control Algorithms of Liquid Sodium Purification System: Advanced Sensors and Instrumentation Advanced Controls

Lefteri Tsoukala Information

University	Purdue University
Position	Professor
Citations(all)	7104
Citations(since 2020)	1818
Cited By	6021
hIndex(all)	33
hIndex(since 2020)	22
i10Index(all)	97
i10Index(since 2020)	45
Email	Access Email
University Profile Page	Purdue University
Google Scholar	View Google Scholar Profile

Lefteri Tsoukala Skills & Research Interests

intelligent systems

fuzzy logic

energy

nuclear engineering

Top articles of Lefteri Tsoukala

Title	Journal	Author(s)	Publication Date
Data-Driven Techniques for Short-Term Electricity Price Forecasting through Novel Deep Learning Approaches with Attention Mechanisms	Energies	Vasileios Laitsos Georgios Vontzos Dimitrios Bargiotas Aspassia Daskalopulu Lefteri H Tsoukalas	2024/3/28
Enhanced Sequence-to-Sequence Deep Transfer Learning for Day-Ahead Electricity Load Forecasting		Vasileios Laitsos Georgios Vontzos Apostolos Tsiovoulos Dimitrios Bargiotas Lefteri H Tsoukalas	2024/4/19
Explainability Analysis of Weather Variables in Short-Term Load Forecasting		Dimitrios Kontogiannis Dimitrios Bargiotas Aspassia Daskalopulu Lefteri H Tsoukalas	2023/7/10
Physics-informed neural network with transfer learning (TL-PINN) based on domain similarity measure for prediction of nuclear reactor transients	Scientific Reports	Konstantinos Prantikos Stylianos Chatzidakis Lefteri H Tsoukalas Alexander Heifetz	2023/10/6
Enhanced Automated Deep Learning Application for Short-Term Load Forecasting	Mathematics	Vasileios Laitsos Georgios Vontzos Dimitrios Bargiotas Aspassia Daskalopulu Lefteri H Tsoukalas	2023/6/28
Thorium fuel revisited		Alexander Chroneos Ioannis Goulatis Aspassia Daskalopulu Lefteri H Tsoukalas	2023/10/1
Fuzzy logic: applications in artificial intelligence, big data, and machine learning		Lefteri H Tsoukalas	2023
Preliminary Development of Heat Transfer Model-Based Control Algorithms of Liquid Sodium Purification System: Advanced Sensors and Instrumentation Advanced Controls		Rita Appiah Alexander Heifetz Derek Kultgen Richard B Vilim Lefteri H Tsoukalas	2023/9/30
Kinetics of Ions in Post-Lithium Batteries		Efstratia N Sgourou Aspassia Daskalopulu Lefteri H Tsoukalas Ioannis L Goulatis Ruslan V Vovk ...	2023/8/25
Introduction to advances in artificial intelligence-based technologies	Advances in Artificial Intelligence-based Technologies: Selected Papers in Honour of Professor Nikolaos G. Bourbakis—Vol. 1	Maria Virvou George A Tsihrintzis Lefteri H Tsoukalas Lakhmi C Jain	2022
Error compensation enhanced day-ahead electricity price forecasting	Energies	Dimitrios Kontogiannis Dimitrios Bargiotas Aspassia Daskalopulu Athanasios Ioannis Arvanitidis Lefteri H Tsoukalas	2022/2/17
Normative and Fuzzy Components of Medical AI Applications		Aspassia Daskalopulu Lefteri H Tsoukalas Dimitrios Bargiotas	2022/10/18
Clustering informed MLP models for fast and accurate short-term load forecasting	Energies	Athanasios Ioannis Arvanitidis Dimitrios Bargiotas Aspassia Daskalopulu Dimitrios Kontogiannis Ioannis P Panapakidis ...	2022/2/10
Monitoring and Secure Communications for Small Modular Reactors		Maria Pantopoulou Stella Pantopoulou Madeleine Roberts Derek Kultgen Lefteri Tsoukalas ...	2022/10/6
Machine Learning for Estimation of Fiber Optics Temperature Field Sensing in a Thermal Hydraulic Flow Loop	APS March Meeting Abstracts	Styliani Pantopoulou Matthew Weathered Darius Lisowski Lefteri Tsoukalas Alexander Heifetz	2022
Structural ensemble regression for cluster-based aggregate electricity demand forecasting	Electricity	Dimitrios Kontogiannis Dimitrios Bargiotas Aspassia Daskalopulu Athanasios Ioannis Arvanitidis Lefteri H Tsoukalas	2022/10/2
Application of Quantum Information Processing Algorithms to Advanced Reactor Informatics	APS March Meeting Abstracts	Maria Pantopoulou Madeleine Roberts Lefteri Tsoukalas Alexander Heifetz	2022
Monitoring of temperature measurements for different flow regimes in water and Galinstan with long short-term memory networks and transfer learning of sensors	Computation	Stella Pantopoulou Victoria Ankel Matthew T Weathered Darius D Lisowski Anthonie Cilliers ...	2022/6/29
Seventy-five years since the point-contact transistor: Germanium revisited		Efstratia N Sgourou Aspassia Daskalopulu Lefteri H Tsoukalas George Stamoulis Ruslan V Vovk ...	2022/11/24
Neural Network Based Solution of Heat Equation for Thermography Modelling	APS March Meeting Abstracts	Pola Lydia Lagari Alexander Heifetz Lefteri Tsoukalas	2022